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* School of Biology,
School of Physics,
School of Biomedical Engineering, and
Integrative BioSystems Institute, Georgia Institute of Technology, Atlanta, Georgia
Correspondence: Address reprint requests to Joshua S. Weitz, Tel.: 404-385-6169; E-mail: jsweitz{at}gatech.edu.
For many bacterial viruses, the choice of whether to kill host cells or enter a latent state depends on the multiplicity of coinfection. Here, we present a mathematical theory of how bacterial viruses can make collective decisions concerning the fate of infected cells. We base our theory on mechanistic models of gene regulatory dynamics. Unlike most previous work, we treat the copy number of viral genes as variable. Increasing the viral copy number increases the rate of transcription of viral mRNAs. When viral regulation of cell fate includes nonlinear feedback loops, very small changes in transcriptional rates can lead to dramatic changes in steady-state gene expression. Hence, we prove that deterministic decisions can be reached, e.g., lysis or latency, depending on the cellular multiplicity of infection within a broad class of gene regulatory models of viral decision-making. Comparisons of a parameterized version of the model with molecular studies of the decision structure in the temperate bacteriophage
are consistent with our conclusions. Because the model is general, it suggests that bacterial viruses can respond adaptively to changes in population dynamics, and that features of collective decision-making in viruses are evolvable life history traits.
This article has been cited by other articles:
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Y. Mileyko, R. I. Joh, and J. S. Weitz Small-scale copy number variation and large-scale changes in gene expression PNAS, October 28, 2008; 105(43): 16659 - 16664. [Abstract] [Full Text] [PDF] |
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